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Analysing Scholarly Communication Metadata of Computer Science Events
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Access APINo data available now. +
Event in seriesTPDL +
Has BenchmarkNo data available now. +
Has ChallengesNo data available now. +
Has DataCatalouge{{{Catalogue}}} +
Has DescriptionNo data available now. +
Has DimensionsNo data available now. +
Has DocumentationURLhttp://No data available now. +
Has Downloadpagehttp://No data available now. +
Has EvaluationNo data available now. +
Has EvaluationMethodNo data available now. +
Has ExperimentSetupNo data available now. +
Has GUINo +
Has HypothesisNo data available now. +
Has ImplementationNo data available now. +
Has InfoRepresentationNo data available now. +
Has LimitationsNo data available now. +
Has NegativeAspectsNo data available now. +
Has PositiveAspectsNo data available now. +
Has RequirementsNo data available now. +
Has ResultsNo data available now. +
Has SubproblemNo data available now. +
Has VersionNo data available now. +
Has abstractOver the past 30 years, we have observed t
Over the past 30 years, we have observed the impact of the

ubiquitous availability of the Internet, email, and web-based services on scholarly communication. The preparation of manuscripts as well as the organization of conferences, from submission to peer review to publication, have become considerably easier and efficient. A key question now is what were the measurable effects on scholarly communication in computer science? Of particular interest are the following questions: Did the number of submissions to conferences increase? How did the selection processes change? Is there a proliferation of publications? We shed light on some of these questions by analyzing comprehensive scholarly communication metadata from a large number of computer science conferences of the last 30 years. Our transferable analysis methodology is based on descriptive statistics analysis as well as exploratory data analysis and uses crowd-sourced, semantically represented scholarly communication

metadata from OpenResearch.org.
munication metadata from OpenResearch.org. +
Has approachNo data available now. +
Has authorsSaid Fathalla +, Sahar Vahdati +, Christoph Lange + and Sören Auer +
Has conclusionIn summary, we made the following observat
In summary, we made the following observations:

With the number of submissions to the top conferences having tripled on average in the last three decades, acceptance rates are going down slightly. Most of those conferences that are A- or A*-rated today have a long continuity. In summary, we made the following observations: With the number of submissions to the top conferences having tripled on average in the last three decades, acceptance rates are going down slightly. Most of those conferences that are A- or A*-rated today have a long continuity. Geographical distribution is not generally relevant; some good conferences take place in the same location; others cycle between continents. Good conferences always take place around the same time of the year. This might mean that the community got used to them being important events. Some topics have attracted increasing interest recently e.g., database topics

thanks to the `big data' trend. This might be confirmed by further investigations into more recent, emerging events in such fields.
re recent, emerging events in such fields. +
Has future workIn further research, we aim to expand the
In further research, we aim to expand the analysis to other fields of science

and to smaller events. Also, it is interesting to assess the impact of digitisation with regard to further scholarly communication means, such as journals (which are more important in fields other than computer science), workshops, funding calls and proposal applications as well as awards. Although large parts of our analysis methodology are already automated, we plan to further optimise the

process so that analysis can be almost instantly generated from the OpenResearch data basis.
enerated from the OpenResearch data basis. +
Has keywordsScientific Events, Scholarly Communication, Semantic Publishing, Metadata Analysis +
Has motivationNo data available now. +
Has platformNo data available now. +
Has problemSemantifying scholarly artifacts +
Has relatedProblemNo data available now. +
Has vendorNo data available now. +
Has year2017 +
ImplementedIn ProgLangNo data available now. +
Proposes AlgorithmNo data available now. +
RunsOn OSNo data available now. +
TitleAnalysing Scholarly Communication Metadata of Computer Science Events +
Uses FrameworkNo data available now. +
Uses MethodologyNo data available now. +
Uses ToolboxNo data available now. +